Decision Tree
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
The tendency to overestimate how much our future preferences and behaviors will align with our current preferences and behaviors.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.
The theory that people adjust their behavior in response to the perceived level of risk, often taking more risks when they feel more protected.
A self-regulation strategy in the form of "if-then" plans that can lead to better goal attainment and behavior change.
A cognitive bias where individuals overestimate their own abilities, qualities, or performance relative to others.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.